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Semantic Feature Aggregation for Gender Identification in Russian Facebook Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Employing Wikipedia Data for Coreference Resolution in Russian

Author : Ilya Azerkovich

Published in: Artificial Intelligence and Natural Language

Publisher: Springer International Publishing

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Abstract

Semantic information has been deemed a valuable resource for solving the task of coreference resolution by many researchers. Unfortunately, not much has been done in the direction of using this data when working with Russian data. This work describes the first step of a research, attempting to create a coreference resolution system for Russian based on semantic data, concerned with using Wikipedia information for the task. The obtained results are comparable to ones for English data, which gives reasons to expect their improvement in further steps of the research.

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previous chapter Application of a Hybrid Bi-LSTM-CRF Model to the Task of Russian Named Entity Recognition
next chapter Building Wordnet for Russian Language from Ru.Wiktionary
Footnotes
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Metadata
Title
Employing Wikipedia Data for Coreference Resolution in Russian
Author
Ilya Azerkovich
Copyright Year
2018
Book
Artificial Intelligence and Natural Language

Print ISBN: 978-3-319-71745-6

Electronic ISBN: 978-3-319-71746-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-71746-3_9

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